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  5. Re-examining the risk–return relationship in Europe: Linear or non-linear trade-off?
 
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Re-examining the risk–return relationship in Europe: Linear or non-linear trade-off?

Author(s)
Salvador, Enrique  
Floros, Christos  
Arago, Vicent  
Uri
http://hdl.handle.net/10197/7772
Date Issued
2014-09
Date Available
2016-07-22T10:17:26Z
Abstract
This paper analyzes the risk–return trade-off in Europe using recent data from 11 European stock markets. After relaxing the linear assumptions in the risk–return relationship by introducing a new approach that considers the current state of the market, we obtain significant evidence for a positive risk–return trade-off for low volatility states. However, this finding is reduced or even non-significant during periods of high volatility. Maintaining the linear assumption over the risk–return trade-off leads to non-significant estimations for all cases. These results are robust across countries despite the conditional volatility model used. These results also demonstrate that the inconclusive results in previous studies may be due to strong linear assumptions when modeling the risk–return trade-off. This previous research fails to uncover the global behavior of the relationship between return and risk.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Elsevier
Journal
Journal of Empirical Finance
Volume
28
Start Page
60
End Page
77
Copyright (Published Version)
2014 Elsevier
Subjects

Non-linear risk-retur...

Pro-cyclical risk ave...

Regime switching GARC...

Regime switching MIDA...

Risk premium

DOI
10.1016/j.jempfin.2014.05.004
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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JEF_main_text_12_08_2013_cf_final.pdf

Size

4.73 MB

Format

Adobe PDF

Checksum (MD5)

2a8d6629136539ea6b33595b003781d0

Owning collection
FMC² Research Collection
Mapped collections
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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